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Buildings
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Digital Transformation in the Construction Industry: Latest Advances and Prospects
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Digital Transformation in the Construction Industry: Latest Advances and Prospects

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 12477

Special Issue Editors

Dr. Barry Gledson

E-Mail Website
Guest Editor
Architecture and Built Environment, University of Northumbria, Newcastle NE1 8ST, UK
Interests: building information modeling; construction project management; construction planning; digital construction; (construction) innovation diffusion
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sambo Lyson Zulu

E-Mail Website
Guest Editor
School of Built Environment, Engineering, and Computing, Leeds Beckett University, Northern Terrace, City Campus, Leeds LS2 8AG, UK
Interests: management of projects and organisations in the construction industry; implications of the interlinked challenges of digitalisation and sustainability on the construction industry, businesses, and projects
Dr. Ali M. Saad

E-Mail
Guest Editor
School of Built Environment, Engineering and Computing, Leeds Beckett University, Northern Terrace, City Campus, Leeds LS2 8AG, UK
Interests: building information modelling (BIM); digitalisation in construction; modern methods of construction (MMC); innovation-adoption, organisational change; sociology in construction; psychology of managing change; decision-making; construction policies

Special Issue Information

Dear Colleagues,

The main aim of this Special Issue is to stimulate theoretically and empirically informed discussions regarding the latest digital transformation advances and prospects in the construction sector. Specifically, the Special Issue calls for papers that are methodologically robust, with a strong theoretical grounding, containing either theoretical contributions or refinement, or the development and application of new theories relevant to this context. Whilst papers could consider or assess the impact of digitalization on project-, firm- or sector-level performance, work that specifically considers the role of supplier-level firms and how these are influenced or are impacted upon by digital transformations is also particularly encouraged. This Special Issue welcomes discussions of the latest digital innovations in construction and evaluations of their potential for improving construction project delivery or managerial practice.  In addition, submissions for this Special Issue are encouraged to explore any undesirable or indirect/unanticipated consequences of the diffusion of digital innovations in the context of construction. Finally, papers that explore digital approaches to leadership and teamworking at the project/firm level, organizational learning being digitally facilitated at the firm level and sector-level means of improving sustainability through digital means are also welcomed.

Dr. Barry Gledson
Prof. Dr. Sambo Lyson Zulu
Dr. Ali M. Saad
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • blockchain and distributed ledger technology
  • data and intelligent control
  • diffusion
  • digital leadership and teamwork
  • digital innovations in construction
  • digital twin
  • impact of digital technologies on construction processes
  • innovation
  • product (3D) and process (4D, etc.) Modeling
  • robotics in construction
  • theory

Published Papers (3 papers)

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Research

20 pages, 4214 KiB  
Article
Reporting on the Development of a Web-Based Prototype Dashboard for Construction Design Managers, Achieved through Design Science Research Methodology (DSRM)
by Barry Gledson, Kay Rogage, Anna Thompson and Hazel Ponton
Buildings 2024, 14(2), 335; https://doi.org/10.3390/buildings14020335 - 25 Jan 2024
Viewed by 857
Abstract
Construction Design Management (DM) involves the coordination of design processes and activities to ensure quality project design, yet it involves many challenges. This study reports on a collaborative Knowledge Transfer Partnership (KTP) project with a Case Study Organization (CSO) that tackled several issues [...] Read more.
Construction Design Management (DM) involves the coordination of design processes and activities to ensure quality project design, yet it involves many challenges. This study reports on a collaborative Knowledge Transfer Partnership (KTP) project with a Case Study Organization (CSO) that tackled several issues faced by construction design managers. Employing a design science research methodology (DSRM), qualitative analysis of semi-structured interviews with purposefully identified design managers uncovered real-world concerns around design co-ordination and performance monitoring. To address these concerns, a web-based design management prototype dashboard was developed using typical project data to aid in the management of design coordination, task prioritization, and reporting functionalities. The web-based Design Management prototype dashboard enhances design management productivity in construction firms by monitoring design production, assessing designer performance trends, and focusing on Technical Queries (TQs) and Requests for Information (RFIs). Digitalizing selected design management processes improves efficiency and productivity. The visual reporting of the dashboard enables design production monitoring at project and portfolio levels, assesses trends in designer performance, and maintains focus on TQs and RFIs. Demonstrating how web-based Design Management dashboards can enhance productivity, this study emphasizes practical solutions derived from employing a design science research methodology. The development and application of the web-based dashboard contribute to the growing evidence that employing design science research methodology in construction can yield tangible solutions to address real-world construction concerns. Full article
(This article belongs to the Special Issue Digital Transformation in the Construction Industry: Latest Advances and Prospects)
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29 pages, 2625 KiB  
Article
Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models
by Prashnna Ghimire, Kyungki Kim and Manoj Acharya
Buildings 2024, 14(1), 220; https://doi.org/10.3390/buildings14010220 - 14 Jan 2024
Viewed by 5774
Abstract
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming many industry practices, construction largely lags in adoption. Recently, the emergence and rapid adoption of advanced large language models (LLMs) like OpenAI’s GPT, Google’s PaLM, and Meta’s Llama have shown great [...] Read more.
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming many industry practices, construction largely lags in adoption. Recently, the emergence and rapid adoption of advanced large language models (LLMs) like OpenAI’s GPT, Google’s PaLM, and Meta’s Llama have shown great potential and sparked considerable global interest. However, the current surge lacks a study investigating the opportunities and challenges of implementing Generative AI (GenAI) in the construction sector, creating a critical knowledge gap for researchers and practitioners. This underlines the necessity to explore the prospects and complexities of GenAI integration. Bridging this gap is fundamental to optimizing GenAI’s early stage adoption within the construction sector. Given GenAI’s unprecedented capabilities to generate human-like content based on learning from existing content, we reflect on two guiding questions: What will the future bring for GenAI in the construction industry? What are the potential opportunities and challenges in implementing GenAI in the construction industry? This study delves into reflected perception in literature, analyzes the industry perception using programming-based word cloud and frequency analysis, and integrates authors’ opinions to answer these questions. This paper recommends a conceptual GenAI implementation framework, provides practical recommendations, summarizes future research questions, and builds foundational literature to foster subsequent research expansion in GenAI within the construction and its allied architecture and engineering domains. Full article
(This article belongs to the Special Issue Digital Transformation in the Construction Industry: Latest Advances and Prospects)
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18 pages, 31976 KiB  
Article
Exploringthe Potential of Artificial Intelligence as a Tool for Architectural Design: A Perception Study Using Gaudí’sWorks
by Zhihui Zhang, Josep M. Fort and Lluis Giménez Mateu
Buildings 2023, 13(7), 1863; https://doi.org/10.3390/buildings13071863 - 22 Jul 2023
Cited by 7 | Viewed by 5117
Abstract
This study undertakes a comprehensive investigation into the comparison of designs between the acclaimed architect Antoni Gaudí and those produced by an artificial intelligence (AI) system. We evaluated the designs using five main metrics: Authenticity, Attractiveness, Creativity, Harmony, and overall Preference. The findings [...] Read more.
This study undertakes a comprehensive investigation into the comparison of designs between the acclaimed architect Antoni Gaudí and those produced by an artificial intelligence (AI) system. We evaluated the designs using five main metrics: Authenticity, Attractiveness, Creativity, Harmony, and overall Preference. The findings underline the superiority of Gaudí’s designs in terms of Authenticity and Harmony, testifying to the unique aesthetic appeal of human-created designs. On the other hand, AI-generated designs demonstrate significant potential, exhibiting competitive results in the categories of Attractiveness and Creativity. In some cases, they even surpass Gaudí’s designs in terms of overall Preference. However, it is clear that AI faces challenges in replicating the distinctive aspects of human design styles, pointing to the innate subjectivity inherent to design evaluations. These findings shed light on the role AI could play as a tool in architectural design, offering diverse design solutions and driving innovation. Despite this, the study also emphasizes the difficulties AI faces in capturing the unique facets of human design styles and the intrinsic subjectivity in design evaluations. Full article
(This article belongs to the Special Issue Digital Transformation in the Construction Industry: Latest Advances and Prospects)
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